Integer DataFrame columns are erroneously converted to `float`

[bluenote10]

Apparently integer DataFrame columns are implicitly converted to floats, which makes proper integer formatting impossible, and worse, passing e.g. `floatfmt=".6f" will lead to non-sense formatting of integer columns. Here is a minimal example:

import pandas as pd
import tabulate

df = pd.DataFrame({"int_col": [123456789], "float_col": 1.23456789})

print(tabulate.tabulate(df, headers="keys", intfmt=","))

Current output:

        int_col    float_col
--  -----------  -----------
 0  1.23457e+08      1.23457

Expected output:

         int_col    float_col
--  ------------  -----------
 0   12,345,789      1.23457

Tabulate version: 0.9.0

[bluenote10]

FYI as a work-around one can use df.to_dict("records").

[Oli4]

I have the same issue for large integers with tabulate version 0.9.0